
<table style="text-align:center"><tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"></td><td colspan="2"><em>Dependent variable:</em></td></tr>
<tr><td></td><td colspan="2" style="border-bottom: 1px solid black"></td></tr>
<tr><td style="text-align:left"></td><td>exit</td><td>factor(immig)</td></tr>
<tr><td style="text-align:left"></td><td><em>generalized linear</em></td><td><em>cumulative</em></td></tr>
<tr><td style="text-align:left"></td><td><em>mixed-effects</em></td><td><em>link</em></td></tr>
<tr><td style="text-align:left"></td><td>(1)</td><td>(2)</td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">fb_d</td><td>1.48<sup>*</sup> (1.09)</td><td>-1.02 (0.85)</td></tr>
<tr><td style="text-align:left">fb_lag</td><td>2.44<sup>**</sup> (1.09)</td><td>-2.48<sup>**</sup> (0.87)</td></tr>
<tr><td style="text-align:left">hisp_d</td><td>1.08<sup>*</sup> (0.80)</td><td>0.36 (0.60)</td></tr>
<tr><td style="text-align:left">hisp_lag</td><td>1.21 (1.49)</td><td>-0.12 (1.12)</td></tr>
<tr><td style="text-align:left">age</td><td>-3.97<sup>**</sup> (0.14)</td><td>1.09<sup>**</sup> (0.09)</td></tr>
<tr><td style="text-align:left">education</td><td>0.11<sup>*</sup> (0.07)</td><td>-1.59<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">tenure</td><td>-1.09<sup>**</sup> (0.07)</td><td>0.20<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">ideology</td><td>-0.21<sup>**</sup> (0.07)</td><td>1.24<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">income</td><td>0.01 (0.07)</td><td>-0.32<sup>**</sup> (0.05)</td></tr>
<tr><td style="text-align:left">gender</td><td>0.07<sup>**</sup> (0.04)</td><td>0.15<sup>**</sup> (0.03)</td></tr>
<tr><td style="text-align:left">own</td><td>-0.90<sup>**</sup> (0.04)</td><td>0.02 (0.03)</td></tr>
<tr><td style="text-align:left">kids</td><td>-0.13<sup>**</sup> (0.02)</td><td>-0.01 (0.01)</td></tr>
<tr><td style="text-align:left">hispanic</td><td>-0.19<sup>**</sup> (0.08)</td><td>-0.09<sup>*</sup> (0.06)</td></tr>
<tr><td style="text-align:left">asian</td><td>-0.27<sup>**</sup> (0.13)</td><td>0.33<sup>**</sup> (0.10)</td></tr>
<tr><td style="text-align:left">pctunemp</td><td>1.57<sup>**</sup> (0.29)</td><td>-0.65<sup>**</sup> (0.22)</td></tr>
<tr><td style="text-align:left">pcthisp</td><td>-0.10 (0.31)</td><td>0.33<sup>*</sup> (0.24)</td></tr>
<tr><td style="text-align:left">pctasian</td><td>-0.11 (0.28)</td><td>-0.30<sup>*</sup> (0.22)</td></tr>
<tr><td style="text-align:left">medhsvl</td><td>-0.36<sup>**</sup> (0.20)</td><td>-0.46<sup>**</sup> (0.15)</td></tr>
<tr><td style="text-align:left">fb_d:fb_lag</td><td>-4.65<sup>*</sup> (3.06)</td><td>6.73<sup>**</sup> (2.45)</td></tr>
<tr><td style="text-align:left">hisp_d:hisp_lag</td><td>-2.34 (2.34)</td><td>0.92 (1.76)</td></tr>
<tr><td style="text-align:left">Constant</td><td>-0.42 (0.37)</td><td></td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left">Observations</td><td>21,173</td><td>20,260</td></tr>
<tr><td style="text-align:left">Log Likelihood</td><td>-9,542.90</td><td>-27,819.65</td></tr>
<tr><td style="text-align:left">Akaike Inf. Crit.</td><td>19,129.79</td><td></td></tr>
<tr><td style="text-align:left">Bayesian Inf. Crit.</td><td>19,304.92</td><td></td></tr>
<tr><td colspan="3" style="border-bottom: 1px solid black"></td></tr><tr><td style="text-align:left"><em>Note:</em></td><td colspan="2" style="text-align:right"><sup>*</sup>p<0.2; <sup>**</sup>p<0.1; <sup>***</sup>p<[0.***]</td></tr>
</table>
